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Scalable Competitive Intelligence Education through Micro-Learning and Micro-Credentials
Get PDFIt is essential for students, both inside and outside the business school, to learn business information literacy skills to make evidence-based decisions. To address this need, faculty from a large public university developed a competitive intelligence digital module using micro-learning and micro-credentialing concepts designed to be scalable for use in many disciplinary areas. During the pilot, students in a first-year Management course and a senior capstone Engineering Technology course were surveyed to determine their perceptions of the content’s utility and usability. This paper presents the results of this survey to determine student perceptions and if there are any disciplinary differences
Optimization of TPS Films Using An Adaptive Design of Experiments Approach in a Bayesian Optimization Framework
Get PDFPlastic pollution, amounting to 12 million tons annually, necessitates sustainable alternatives to single-use plastics. Compostable thermoplastic starch (TPS) films show promise but lack strength and durability compared to traditional plastics. This study employs an adaptive design of experiments (DoE) approach to enhance TPS films by optimizing testing points. The research focuses on varying concentrations of plasticizers (acetic acid and glycerol) in a water and potato starch mixture, aiming to identify the optimal ratio maximizing tensile strength and % elongation at break. Gaussian process regression (GPR) with uncertainty estimation and Bayesian optimization (BO) utilizing an acquisition function (AF) are employed. The AFs are compared to determine the best-suited one, iteratively updating the model until minimal improvement is predicted. Results indicate TPS films with 1.06% plasticizer weight exhibit the highest tensile strength (2.33 MPa) and % elongation at break (93.45%). Further testing is recommended to validate GPR and BO models and explore additional factors like adjusting the potato starch to plasticizer ratio for enhanced TPS film properties
Preservice Teachers’ Perceived Relevance of Scenarios Reflecting Motivational Challenges During Field- Based Experiences, Focusing on Cost
Get PDFEngineering Faculty Perceptions of Participating in a SoTL Professional Development Intervention
Get PDFFederal Election Commission and Indiana Secretary of State Campaign Finance Information Resoures
No full textThis presentation covers campaign finance information resources produced by the Federal Election Commission (FEC) and Indiana Secretary of State. It describes how these agencies began, details how they oversee and regulate U.S. federal and Indiana state elections, and documents contributions made by individuals, organizations, political parties, and political action committees to individual candidates and organizations. Reporting documentation on these election races is also included
Selected Indiana Government Statistical Agencies and Their Data
No full textProvides coverage of Indiana state government agencies statistics and selected Tippecanoe County, Indiana local government statistical publications. Presentation describes state agencies such as the Indiana Departments of Agriculture, Education, Health, Local Government Finance, and State Budget Agency. Examples of historical and current data are presented
Review: A Working Model for Contingent Faculty
Get PDFIn his book A Working Model for Contingent Faculty, Robert Samuels presents multiple ideas for helping contingent faculty organize to gain equity on campus: in their careers, working conditions, and pay. Samuels critiques current prominent, negative discourse on contingent faculty, offering instead ways to emphasize contingent faculty’s diverse and positive experiences and opportunities. I offer additional insights spurred from Samuels’s ideas, including connecting with student government and finding ways to make writing center work and research more public and apparent to institutional stakeholders (e.g., students, faculty, donors, administrators, boards/trustees)
AI-Based Concept Inventories: Using Cognitive Diagnostic Computer AdaptiveTesting in LASSO for Classroom Assessment
Get PDFResearch-based concept inventories, such as the Force Concept Inventory, the Force and Motion Conceptual Evaluation, or the Energy and Momentum Conceptual Survey have played a pivotal role in designing and evaluating instruction in introductory physics courses. While these concept inventories have helped identify inequity in course instruction and have led to improved pedagogical methods, concerns about their ability to provide actionable feedback for formative assessment remain. In addition, using the same questions for both a pre- and a post- assessment leaves the potential for students learning the correct answers without undergoing conceptual change. To address these issues, we designed a Computerized Adaptive Testing (CAT) platform that utilizes Cognitive Diagnostic Modeling (CDM) for delivering concept inventories through the Learning About STEM Student Outcomes (LASSO) platform. CAT is a modern approach to educational technology that can transform classroom assessment and self-assessment strategies. CAT selects questions using item difficulty and item discrimination to estimate student ability. By selecting questions at an appropriate difficulty for each student, CAT can assess student conceptual understanding with greater accuracy. The addition of CDM allows for an assessment of skill mastery across concept and provides actionable information to instructors to provide individualized instruction even within large-enrollment introductory physics courses. LASSO serves as a centralized platform enabling classes nationwide to access a diverse array of assessment contents and questions aligning with established educational standards, promoting frequent assessment. In this presentation, we describe the design of Mechanics Cognitive Diagnostic (MCD) that uses CAT and CDM and is delivered within the LASSO platform. We also present the results from simulation studies that assessed the ability of the MCD to assess conceptual understanding while maintaining test security and decreasing test length. In addition, we present the results from analyses of student data to identify the underlying skills within conceptual inventories. The amalgamation of CAT with cognitive diagnosis models within the LASSO platform empowers educators to gauge student mastery levels and confidently navigate the subsequent stages of the teaching process
In-Service Safety Evaluation of Indiana Impact Attenuators and Barrier End Treatments
Get PDFCrashes related to barrier end treatments and impact attenuators generally have higher severity levels than those colliding with barrier faces. To select the most effective end treatments, the in-service safety evaluation of such end treatments under various operational conditions was needed. This study linked 7 years of crash records with the corresponding end treatments using inventory from the Indiana Road Network Dataset. Factors affecting crash severity, including speed, weather, roadway features, and vehicle types, were extracted and integrated with crashes in the modeling sample. Both random parameter and fixed effect ordered logit models were used to estimate the effects of various end treatments on crash severity under studied conditions. The probabilities of severity levels outcomes were estimated for barrier end treatments and impact attenuators. These probability distributions were converted into economic costs with proper adjustments for the estimated underreporting rates. The corresponding crash and cost reduction factors were also estimated. The expected average crash costs under various operational conditions should help select a roadside safety device that performs best for the road and traffic conditions